package com.atguigu.flink.keyStateAndOpeState;

import com.atguigu.flink.bean.WaterSensor;
import com.atguigu.flink.function.WaterSensorMapFunction;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.api.common.state.ReducingState;
import org.apache.flink.api.common.state.ReducingStateDescriptor;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.datastream.KeyedStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.KeyedProcessFunction;
import org.apache.flink.util.Collector;

public class OperatorReduceState {
    public static void main(String[] args) throws Exception {
        // TODO 1.环境准备
        // 1.1指定流处理环境
        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        // 1.2设置并行度
        env.setParallelism(1);
        // TODO 2.从指定的网络端口读取数据
        DataStreamSource<String> socketDS = env.socketTextStream("hadoop102", 8888);
        // TODO 3.对数据进行类型转换 String -> Watersensor
        SingleOutputStreamOperator<WaterSensor> wsDS = socketDS.map(new WaterSensorMapFunction());
        // TODO 4.按照传感器id进行分组
        KeyedStream<WaterSensor, String> keyByDS = wsDS.keyBy(WaterSensor::getId);
        // TODO 5.对分组后的数据进行处理
        SingleOutputStreamOperator<String> processDS = keyByDS.process(
                new KeyedProcessFunction<String, WaterSensor, String>() {

                    private ReducingState<Integer> vcSumState;

                    @Override
                    public void open(Configuration parameters) throws Exception {
                        ReducingStateDescriptor<Integer> reducingStateDescriptor = new ReducingStateDescriptor<>(
                                "vcSumState",
                                new ReduceFunction<Integer>() {
                                    @Override
                                    public Integer reduce(Integer value1, Integer value2) throws Exception {
                                        return value1 + value2;
                                    }
                                },
                                Integer.class);
                        vcSumState = getRuntimeContext().getReducingState(reducingStateDescriptor);
                    }

                    @Override
                    public void processElement(WaterSensor ws, KeyedProcessFunction<String, WaterSensor, String>.Context ctx, Collector<String> out) throws Exception {
                        Integer vc = ws.getVc();
                        String id = ctx.getCurrentKey();
                        vcSumState.add(vc);
                        Integer sum = vcSumState.get();
                        out.collect("传感器" + id + "水位和" + sum);
                    }
                }
        );
        // TODO 6.打印输出
        processDS.print();
        // TODO 7.提交作业
        env.execute();

    }
}
